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An Introduction to Machine Learning in Quantitative Finance

Hao Ni, Xin Dong, Jinsong Zheng, Guangxi Yu
Livre relié | Anglais | Advanced Textbooks in Mathematics
134,45 €
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Description

In today's world, we are increasingly exposed to the words 'machine learning' (ML), a term which sounds like a panacea designed to cure all problems ranging from image recognition to machine language translation. Over the past few years, ML has gradually permeated the financial sector, reshaping the landscape of quantitative finance as we know it.An Introduction to Machine Learning in Quantitative Finance aims to demystify ML by uncovering its underlying mathematics and showing how to apply ML methods to real-world financial data. In this book the authorsFeatured with the balance of mathematical theorems and practical code examples of ML, this book will help you acquire an in-depth understanding of ML algorithms as well as hands-on experience. After reading An Introduction to Machine Learning in Quantitative Finance, ML tools will not be a black box to you anymore, and you will feel confident in successfully applying what you have learnt to empirical financial data!

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Editeur:

Contenu

Nombre de pages :
264
Langue:
Anglais
Collection :

Caractéristiques

EAN:
9781786349361
Date de parution :
13-04-21
Format:
Livre relié
Format numérique:
Genaaid
Dimensions :
152 mm x 229 mm
Poids :
521 g

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